Examining Data and its Utilization in Public Institutions: A Case Study of the Planning Unit at the Ministry of Health in Lusaka

This study aimed to examine the utilization of data mining in Public Institution within Lusaka, focusing specifically on the planning processes at the Ministry of Health. Employing a descriptive research design, data was collected through questionnaires from a stratified sample of 50 participants, including Ministry of Health officials and health personnel. Data analysis was conducted using SPSS, with findings presented through frequency tables and pie charts. The study's primary objectives were to explore how data mining is applied in planning processes, its effects on administrative functions, and the challenges it poses. Findings revealed that strategic planning for data mining initiatives in health administration is strongly influenced by components like vision and mission statements, environmental scanning, and data management practices, including collection, storage, and analysis. The initial assessment and readiness phase were deemed the most critical for the success of data mining initiatives, followed by monitoring and evaluation. 70% of the majority of Respondents suggested that prioritizing data sources should be based on patient preferences. At the same time, a comprehensive overhaul of existing processes was identified as the most effective method for integrating data mining into health administration. 80% of the majority indicated significantly improved patient care quality, operational efficiency, and decision-making processes. However, 50% indicated challenges such as a lack of technical expertise, data privacy concerns, and data quality issues were identified as significant obstacles. Ethical considerations, including ensuring patient autonomy and transparency in data usage, were also emphasized as critical in the implementation of data mining initiatives. The study concludes that while data mining holds substantial potential for enhancing health administration, its success is contingent on careful strategic planning, ethical considerations, and addressing technical challenges. Recommendations include prioritizing patient-centered data sources, ensuring thorough preparation during the initial assessment phase, and conducting regular audits to maintain ethical standards.